Samsung Electronics Perú
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For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on. If you are a resident of the European Union or the European Economic Area, please click here. If you are a resident of the U.S., please click here. If you are a resident of the Philippines, please click here. If you are a resident of Korea, click here. * Please visit Samsung_Jobs to see job postings in Samsung Manufacturing subsidiaries. * If you would like to be notified of new opportunities when they are posted, please click here. You will be asked to create an account first if you do not already have one. This site uses cookies to offer you a better browsing experience. □Mandatory Cookies (Strictly necessary for the career site to function and expire at the end of the session): - Session management cookies: user, device and session ID cookies along with timestamp cookies for timing out sessions after inactivity. - Application Security Management (ASM) cookies: to help protect web infrastructure from security attacks. - Routing cookies: to forward requests for a single session to the same server for consistency of service. □Configurable Cookies (Optionally selected by user for the career site to function): - LinkedIn cookies: to apply for open positions using users’ LinkedIn Profile. (Expiring at the end of the session) If you agree to allow configurable cookies to be placed, please click the 'Accept Cookies'. Time left to apply End Date: October 31, 2025 (30+ days left to apply) Job requisition id R106457 Position Summary Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us! Role and Responsibilities We are seeking a highly skilled GPU ML Architect to join our GPU Architecture hardware team. As a GPU ML Architect, you will be responsible for designing and developing innovative machine learning (ML) solutions for graphics processing units (GPUs). While knowledge of graphics or GPU architecture is not a requirement, a strong understanding of compute architectures and machine learning principles is essential. You will work closely with cross-functional teams to analyze workloads, model performance, and create new features for large vision models and image classification applications. You write technical specifications for new ML features and architectures, ensuring they integrate seamlessly with the graphics pipeline and meet performance, power, and functionality requirements. You work on improving middleware to enhance the overall performance and efficiency of ML workloads on GPUs. You create new hardware features and optimizations to improve PPA on ML applications such as LLMs, LVMs, Image Classification, etc. You integrate with the graphics pipeline team to ensure that ML solutions are aligned with the overall graphics architecture. You optimize GPU architectures for ML workloads, ensuring maximum performance and power efficiency. Collaborate with engineers to analyze and model workloads, identifying performance bottlenecks and areas for optimization. Skills and Qualifications
15+ years of experience with a Bachelor’s degree in Computer Science/Computer Engineering/relevant technical field, or 13+ years of experience with a Master’s degree, or 11+ years of experience with a PhD Strong understanding of machine learning principles and architectures Experience with compute architectures and performance optimization Experience with workload analysis and modeling Excellent programming skills in languages such as C++, Python, or similar Familiarity with LLMs, LVMs, and image classification GPU architecture and graphics pipeline experience is a big plus Knowledge of ML frameworks and tools (e.g., TensorFlow, PyTorch) preferred Ability to write clear and concise technical specifications Strong analytical and problem-solving skills Our Team We’re growing a team with talented individuals and diverse skillsets to build a technology roadmap and deliver market-leading GPU product. Our Xclipse GPU is the first mobile GPU with ray tracing technology that enables console-level graphics for Samsung Galaxy smartphones. Being part of a unique growing team at a well-established global company means you have limitless room to explore, innovate, and grow by wearing different hats. Our GPU Architect team delivers whole system architecture-level design for Samsung’s current and next-generation mobile GPU. Depending on the discipline, they’re responsible for early-stage exploration, research focusing on graphic and machine learning, defining new features, modeling, microarchitecture design, and programming work. Total Rewards At Samsung – SARC/ACL, base pay is part of our total compensation package, determined within a range. The base pay range for this role is between $174,557 and $305,414. Your actual pay depends on your education, skills, qualifications, experience, and location. This is an exempt position, not eligible for overtime pay under FLSA. Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), free onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and more. Regular full-time employees are also eligible for bonuses based on performance. This role might be eligible for long-term incentives and relocation assistance. U.S. Export Control This position requires the ability to access information subject to U.S. export control restrictions. Applicants must have or be eligible to receive a government authorization to access export-controlled information. Trade Secrets By applying, you agree not to disclose confidential or proprietary information belonging to any current or previous employer or other entity. #ACL * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. * Samsung Electronics America, Inc. and its subsidiaries are committed to diversity and equal employment opportunity. Time left to apply End Date: October 31, 2025 (30+ days left to apply) About Us
Job Alerts : To be notified of new opportunities,
click here . You will need to create an account if you haven't already. Samsung Electronics
is a global leader in technology, transforming the worlds of TVs, smartphones, wearables, tablets, appliances, network systems, and semiconductors. Since 1969, Samsung has grown into a top global brand, committed to innovation and diversity. More at https://news.samsung.com/global/.
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For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on. If you are a resident of the European Union or the European Economic Area, please click here. If you are a resident of the U.S., please click here. If you are a resident of the Philippines, please click here. If you are a resident of Korea, click here. * Please visit Samsung_Jobs to see job postings in Samsung Manufacturing subsidiaries. * If you would like to be notified of new opportunities when they are posted, please click here. You will be asked to create an account first if you do not already have one. This site uses cookies to offer you a better browsing experience. □Mandatory Cookies (Strictly necessary for the career site to function and expire at the end of the session): - Session management cookies: user, device and session ID cookies along with timestamp cookies for timing out sessions after inactivity. - Application Security Management (ASM) cookies: to help protect web infrastructure from security attacks. - Routing cookies: to forward requests for a single session to the same server for consistency of service. □Configurable Cookies (Optionally selected by user for the career site to function): - LinkedIn cookies: to apply for open positions using users’ LinkedIn Profile. (Expiring at the end of the session) If you agree to allow configurable cookies to be placed, please click the 'Accept Cookies'. Time left to apply End Date: October 31, 2025 (30+ days left to apply) Job requisition id R106457 Position Summary Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us! Role and Responsibilities We are seeking a highly skilled GPU ML Architect to join our GPU Architecture hardware team. As a GPU ML Architect, you will be responsible for designing and developing innovative machine learning (ML) solutions for graphics processing units (GPUs). While knowledge of graphics or GPU architecture is not a requirement, a strong understanding of compute architectures and machine learning principles is essential. You will work closely with cross-functional teams to analyze workloads, model performance, and create new features for large vision models and image classification applications. You write technical specifications for new ML features and architectures, ensuring they integrate seamlessly with the graphics pipeline and meet performance, power, and functionality requirements. You work on improving middleware to enhance the overall performance and efficiency of ML workloads on GPUs. You create new hardware features and optimizations to improve PPA on ML applications such as LLMs, LVMs, Image Classification, etc. You integrate with the graphics pipeline team to ensure that ML solutions are aligned with the overall graphics architecture. You optimize GPU architectures for ML workloads, ensuring maximum performance and power efficiency. Collaborate with engineers to analyze and model workloads, identifying performance bottlenecks and areas for optimization. Skills and Qualifications
15+ years of experience with a Bachelor’s degree in Computer Science/Computer Engineering/relevant technical field, or 13+ years of experience with a Master’s degree, or 11+ years of experience with a PhD Strong understanding of machine learning principles and architectures Experience with compute architectures and performance optimization Experience with workload analysis and modeling Excellent programming skills in languages such as C++, Python, or similar Familiarity with LLMs, LVMs, and image classification GPU architecture and graphics pipeline experience is a big plus Knowledge of ML frameworks and tools (e.g., TensorFlow, PyTorch) preferred Ability to write clear and concise technical specifications Strong analytical and problem-solving skills Our Team We’re growing a team with talented individuals and diverse skillsets to build a technology roadmap and deliver market-leading GPU product. Our Xclipse GPU is the first mobile GPU with ray tracing technology that enables console-level graphics for Samsung Galaxy smartphones. Being part of a unique growing team at a well-established global company means you have limitless room to explore, innovate, and grow by wearing different hats. Our GPU Architect team delivers whole system architecture-level design for Samsung’s current and next-generation mobile GPU. Depending on the discipline, they’re responsible for early-stage exploration, research focusing on graphic and machine learning, defining new features, modeling, microarchitecture design, and programming work. Total Rewards At Samsung – SARC/ACL, base pay is part of our total compensation package, determined within a range. The base pay range for this role is between $174,557 and $305,414. Your actual pay depends on your education, skills, qualifications, experience, and location. This is an exempt position, not eligible for overtime pay under FLSA. Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), free onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and more. Regular full-time employees are also eligible for bonuses based on performance. This role might be eligible for long-term incentives and relocation assistance. U.S. Export Control This position requires the ability to access information subject to U.S. export control restrictions. Applicants must have or be eligible to receive a government authorization to access export-controlled information. Trade Secrets By applying, you agree not to disclose confidential or proprietary information belonging to any current or previous employer or other entity. #ACL * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. * Samsung Electronics America, Inc. and its subsidiaries are committed to diversity and equal employment opportunity. Time left to apply End Date: October 31, 2025 (30+ days left to apply) About Us
Job Alerts : To be notified of new opportunities,
click here . You will need to create an account if you haven't already. Samsung Electronics
is a global leader in technology, transforming the worlds of TVs, smartphones, wearables, tablets, appliances, network systems, and semiconductors. Since 1969, Samsung has grown into a top global brand, committed to innovation and diversity. More at https://news.samsung.com/global/.
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